Articles | Volume 22, issue 4
https://doi.org/10.5194/nhess-22-1469-2022
https://doi.org/10.5194/nhess-22-1469-2022
Research article
 | 
26 Apr 2022
Research article |  | 26 Apr 2022

Machine-learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains

Andrea Magnini, Michele Lombardi, Simone Persiano, Antonio Tirri, Francesco Lo Conti, and Attilio Castellarin

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Cited articles

Alfieri, L., Salamon, P., Pappenberger, F., Wetterhall, F., and Thielen, J.: Operational early warning systems for water-related hazards in Europe, Environ. Sci. Policy, 21, 35–49, https://doi.org/10.1016/j.envsci.2012.01.008, 2012. a
Alfieri, L., Salamon, P., Bianchi, A., Neal, J., Bates, P., and Feyen, L.: Advances in pan-European flood hazard mapping, Hydrol. Process., 28, 4067–4077, https://doi.org/10.1002/hyp.9947, 2014. a, b
Arabameri, A., Rezaei, K., Cerdá, A., Conoscenti, C., and Kalantari, Z.: A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran, Sci. Total Environ., 660, 443–458, https://doi.org/10.1016/j.scitotenv.2019.01.021, 2019. a, b, c, d, e, f, g
Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, https://doi.org/10.5194/hess-13-141-2009, 2009. a
Bellos, V. and Tsakiris, G.: A hybrid method for flood simulation in small catchments combining hydrodynamic and hydrological techniques, J. Hydrol., 540, 331–339, https://doi.org/10.1016/j.jhydrol.2016.06.040, 2016. a
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We retrieve descriptors of the terrain morphology from a digital elevation model of a 105 km2 study area and blend them through decision tree models to map flood susceptibility and expected water depth. We investigate this approach with particular attention to (a) the comparison with a selected single-descriptor approach, (b) the goodness of decision trees, and (c) the performance of these models when applied to data-scarce regions. We find promising pathways for future research.
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